Paper Citation Record · LEDGER

On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.02306.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.02306 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:24:10.740291Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 677c6706-98f8-42a8-819e-52000ef3335c · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 142

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:10.740291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb3d740-ddb5-48a6-af24-12f6d1506173 · inbound

Why human-AI relationships need socioaffective alignment cites this paper.

Why human-AI relationships need socioaffective alignment On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-09T11:53:43.873077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f988d7e4-0356-480d-96c4-767364624d4e · inbound

The Lock-in Hypothesis: Stagnation by Algorithm cites this paper.

The Lock-in Hypothesis: Stagnation by Algorithm On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T06:07:29.471740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c2aa3db-74cd-4152-8fa1-dfcef47d83d0 · inbound

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework cites this paper.

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:38.443628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a9a12ca-456d-490e-a71b-77b9dc424b9f · inbound

Mitigating LLM biases toward spurious social contexts using direct preference optimization cites this paper.

Mitigating LLM biases toward spurious social contexts using direct preference optimization On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:33:14.711288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e7853648-c97f-4152-b45e-93f4915b0e0a · inbound

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants cites this paper.

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:36:47.497987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f416061-052a-4a36-ad3b-73db504dbbe3 · inbound

Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning cites this paper.

Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:26:26.433528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34fee9e2-f2cf-4589-9372-4ee2e14d56ed · inbound

Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning cites this paper.

Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:08:05.074380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3895b28b-088f-46cf-9173-a7d42d07ca6f · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:41:22.314555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0525972-eb1f-4cbe-b8cf-92f9b5659cf7 · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:41:21.438931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32ce9421-a677-49fb-bb53-5592957b5e3a · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:58.065439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5af3ff9c-5371-481e-aade-f6878d2db672 · inbound

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing cites this paper.

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:47.587162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05b8766f-9d6d-4619-8d5b-3c0d94259f68 · inbound

Against Proxy Optimization cites this paper.

Against Proxy Optimization On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:49:46.629443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8249767-90a5-44c7-bcc2-52b47f825175 · inbound

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action cites this paper.

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.649060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 948a15f7-17d7-4f76-8b0f-5b311c1ea7e5 · inbound

Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being cites this paper.

Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback

Reference 158

Resolution: unresolved; no resolver link, observed 2026-07-31T02:25:21.866266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.